Cloud autoscaling for HTTP/2 workloads

Daniele Tessera, Luisa Massari, Maria Carla Calzarossa, Momin I. M. Tabash

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

loud computing provides cost effective solutions for deploying services and applications. Even though resources can be provisioned on demand, they need to adapt quickly and in a seamless way to the workload intensity and characteristics and satisfy at the same time the desired performance levels and the corresponding SLAs. Autoscaling policies are devised for these purposes. In this paper, we apply a state-of-the-art reactive autoscaling policy to assess the effects of deploying the HTTP/2 server push mechanism in cloud environments. Our simulation experiments – that rely on extensions of the CloudSim toolkit – have shown that the autoscaling mechanism is beneficial for web servers even though pushing a large number of objects might lead to server overload.
Lingua originaleEnglish
Titolo della pubblicazione ospite2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech)
Pagine12-17
Numero di pagine6
Stato di pubblicazionePubblicato - 2017
Evento2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech) - Rabatt - Marocco
Durata: 24 ott 201726 ott 2017

Convegno

Convegno2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech)
CittàRabatt - Marocco
Periodo24/10/1726/10/17

Keywords

  • Cloud computing
  • Web servers

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